Josiah Zayner in his home lab.
[Editor's Note: This op/ed appears in response to January's Big Moral Question: "Where should we draw a line, if any, between the use of gene editing for the prevention and treatment of disease, and for cosmetic enhancement?" Currently, it is illegal to develop human trials for the latter in the U.S.]
Homo sapien: a bipedal primate that is thought to be the only animal to construct a moral code. Despite the genetic differences between members of our species being less than 1 percent, we come in all shapes, sizes and colors. There is no normal for human genetics.
I believe genetic freedom is the most basic human right we all should have.
One DNA base change here, another there brings us humans with light skin, red hair and big muscles. Want to be an NBA All-Star? Your genes are by far the largest determinant of your height and well, there has never been an All-Star under 5'9". Sexual reproduction makes it so that our physical traits seem more a pinch of this and a dash of that than some precise architectural masterpiece. For the most part we have no control over whether we or our children will be the next Cristiano Ronaldo or are born with a debilitating disease--unless we use genetic engineering.
Anywhere from 64% in the US to over 82% of people in China support genetic modification of individuals to help treat diseases. I imagine that number will only increase as people become more familiar with the technology and I don't think most people need convincing that genetic modification for medical treatment is a good thing. In fact, most modern drugs are genetic regulation on a fundamental level. But cosmetic genetic modification is far more controversial with only 39% of people in the US finding it agreeable. Far fewer people support modifying the genes of babies before they are born. My question is: Where does one draw a line between cosmetic and medical genetic changes?
Modifying the genetics of individuals for medical reasons started in the late 1980s and early 1990s when scientists reprogrammed viruses so that instead of causing harm when they infected people, they changed the genetics of their cells. Much has changed and and despite the success of many gene therapy trials, people are still afraid. Perhaps because of concerns over safety, but gene therapies have been tested in over 2000 clinical trials in hundreds of thousands of people. So what are we so afraid of? I asked myself that same question in 2016 and could not find a basis for the fear and so performed the first successfully cosmetic human genetic modification by putting a jellyfish gene in my skin. The experiment was simple, the monetary cost minimal, and though my skin didn't fluoresce like a jellyfish, DNA testing showed it worked and the experiment showed me what was possible.
People are afraid because we are on the cusp of the human race changing as we know it. But isn't that change all we have been striving for?
In late 2017, I wanted to explore bigger cosmetic changes, so I did another genetic experiment on myself; I injected myself with a CRISPR/Cas9 system meant to modify myostatin, a gene responsible for muscle growth and fat loss. I didn't do it because I wanted bigger muscles but because the myostatin gene is a well-studied target that has been modified in many mammals using CRISPR. I feel a responsibility to try and push boundaries that scientists in universities and large corporations can't because of committees, regulations and social acceptability. When this cutting-edge technique was tried for the first time, it wasn't in an expensive lab and it didn't cost millions of dollars. It was done by me, prepared in my home lab, and the cost of this cosmetic treatment was under $500.
Home genetic engineering lab kits like this are sold by Zayner's company for less than $2000.
I have had many people call me crazy and worse, but they don't understand that I've undertaken these experiments with much thought and hesitation. Experimenting on oneself isn't fun; it is an unfortunate situation to be in as a Ph.D. scientist who less than two years ago was fulfilling a prestigious synthetic biology fellowship at NASA. The data points to the experiment being relatively safe, and similar experimental protocols have had success, so why wait? When so much is at stake, we need to show people what is possible so that one day we all can have genetic freedom.
Zayner's arm after attempting the first CRISPR injection showed little immune response; a small red dot in the upper left forearm can be seen at the injection site.
People are afraid because we are on the cusp of the human race changing as we know it. But isn't that change all we have been striving for yet unable to obtain? Have too much or too little hair? There is a non-gene therapy treatment for that. Want to change your appearance? The global cosmetic surgery market is over $15 billion. Tattoos, dyed hair and piercings abound. We sculpt our appearance by exercise, make-up, drugs, chemicals and invasive surgeries. We try so hard to fight against our genetics in every way except genetic modification.
Being human means freedom to be who we want to be. And at the moment, no one gets to choose their genetics. Instead, nature plays a probabilistic role in the most primitive genetic engineering experiment of sexual reproduction. This dice roll can sometimes end in tragedy. Fortunately, in my case I was born with the genetics of a healthy individual. Still, I push for everyone and though my newest genetic modification experiment is ongoing, even if it doesn't work, it is only a matter of time until it does in someone.
If you prevent someone like me from changing my genetics, where do you draw the line? Only people who can't walk can get genetic modification? Only people who can't run? Only people who are predisposed to skin cancer? Don't we all deserve a choice or to give parents better ones? I believe genetic freedom is the most basic human right we all should have. We no longer need to be slaves to genetics so let's break those bonds and embrace the change brought about by allowing human genetic engineering for all no matter the reason.
[Ed. Note: Check out the opposite perspective: "Hacking Your Own Genes: A Recipe for Disaster." Then follow LeapsMag on social media to share your opinion.]
AI was integral to creating Moderna's mRNA vaccine against COVID.
But the truth is that before ChatGPT nabbed the public’s attention, AI was already here, and it was doing more important things than writing essays for lazy college students. Case in point: It was key to saving the lives of tens of millions of people.
AI-designed mRNA vaccines
As Dave Johnson, chief data and AI officer at Moderna, told MIT Technology Review‘s In Machines We Trust podcast in 2022, AI was integral to creating the company’s highly effective mRNA vaccine against COVID. Moderna and Pfizer/BioNTech’s mRNA vaccines collectively saved between 15 and 20 million lives, according to one estimate from 2022.
Johnson described how AI was hard at work at Moderna, well before COVID arose to infect billions. The pharmaceutical company focuses on finding mRNA therapies to fight off infectious disease, treat cancer, or thwart genetic illness, among other medical applications. Messenger RNA molecules are essentially molecular instructions for cells that tell them how to create specific proteins, which do everything from fighting infection, to catalyzing reactions, to relaying cellular messages.
Johnson and his team put AI and automated robots to work making lots of different mRNAs for scientists to experiment with. Moderna quickly went from making about 30 per month to more than one thousand. They then created AI algorithms to optimize mRNA to maximize protein production in the body — more bang for the biological buck.
For Johnson and his team’s next trick, they used AI to automate science, itself. Once Moderna’s scientists have an mRNA to experiment with, they do pre-clinical tests in the lab. They then pore over reams of data to see which mRNAs could progress to the next stage: animal trials. This process is long, repetitive, and soul-sucking — ill-suited to a creative scientist but great for a mindless AI algorithm. With scientists’ input, models were made to automate this tedious process.
“We don’t think about AI in the context of replacing humans,” says Dave Johnson, chief data and AI officer at Moderna. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
All these AI systems were in put in place over the past decade. Then COVID showed up. So when the genome sequence of the coronavirus was made public in January 2020, Moderna was off to the races pumping out and testing mRNAs that would tell cells how to manufacture the coronavirus’s spike protein so that the body’s immune system would recognize and destroy it. Within 42 days, the company had an mRNA vaccine ready to be tested in humans. It eventually went into hundreds of millions of arms.
Biotech harnesses the power of AI
Moderna is now turning its attention to other ailments that could be solved with mRNA, and the company is continuing to lean on AI. Scientists are still coming to Johnson with automation requests, which he happily obliges.
“We don’t think about AI in the context of replacing humans,” he told the Me, Myself, and AI podcast. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
Moderna, which was founded as a “digital biotech,” is undoubtedly the poster child of AI use in mRNA vaccines. Moderna recently signed a deal with IBM to use the company’s quantum computers as well as its proprietary generative AI, MoLFormer.
Moderna’s success is encouraging other companies to follow its example. In January, BioNTech, which partnered with Pfizer to make the other highly effective mRNA vaccine against COVID, acquired the company InstaDeep for $440 million to implement its machine learning AI across its mRNA medicine platform. And in May, Chinese technology giant Baidu announced an AI tool that designs super-optimized mRNA sequences in minutes. A nearly countless number of mRNA molecules can code for the same protein, but some are more stable and result in the production of more proteins. Baidu’s AI, called “LinearDesign,” finds these mRNAs. The company licensed the tool to French pharmaceutical company Sanofi.
Writing in the journal Accounts of Chemical Research in late 2021, Sebastian M. Castillo-Hair and Georg Seelig, computer engineers who focus on synthetic biology at the University of Washington, forecast that AI machine learning models will further accelerate the biotechnology research process, putting mRNA medicine into overdrive to the benefit of all.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.
